resume.borck.dev
Resume Experiences
From traditional PDF to retro text adventures — pick the format that suits your style.
Traditional PDF
Section titled “Traditional PDF”ATS-friendly, print-ready professional format. Clean layout, proper headings, downloadable.
ClassicPrintDownload PDFTraditional HTML
Section titled “Traditional HTML”Responsive web version with clean styling, table of contents, and an embedded chat widget for questions.
WebResponsiveView HTMLCV Quest
Section titled “CV Quest”Retro 8-bit swipe card adventure. Explore my career through a playful card game — swipe left or right to navigate paths through work, education, projects, and values.
InteractiveGamePlay CV QuestTerminal Adventure
Section titled “Terminal Adventure”Zork-style text adventure through my career. Type commands to explore experience, skills, and projects in a retro terminal interface.
InteractiveCLILaunch TerminalTechLife Magazine
Section titled “TechLife Magazine”Magazine-style layout with photography, pull quotes, and editorial design. My career presented as feature articles.
VisualEditorialRead MagazineAPI Documentation
Section titled “API Documentation”Swagger-style REST API interface. Browse my experience, skills, and education as structured API endpoints with example responses.
DeveloperRESTExplore APIPresentation Slides
Section titled “Presentation Slides”Reveal.js HTML5 presentation. Navigate through my career as a slide deck — perfect for interviews, talks, or quick overviews.
VisualSlidesView SlidesLive API
Section titled “Live API”Real FastAPI backend serving my resume as structured JSON. Auto-generated Swagger docs with interactive endpoint testing. Try the endpoints live.
LiveFastAPIOpen SwaggerMCP Server
Section titled “MCP Server”Model Context Protocol server for Claude and other AI assistants. Query my resume programmatically — skills, experience, publications — directly from your AI tools.
AIMCPView on npmllms.txt
Section titled “llms.txt”Plain-text, structured resume optimised for LLM ingestion. Like robots.txt but for AI — fetch it, inject it into a prompt, and ask questions about my experience.
AIPlain TextDownload llms.txtThe Source
Section titled “The Source”One 320-line YAML file generates everything above. One edit, ten outputs.
YAMLSourceView Source YAMLHow It Works
Section titled “How It Works”cv-data.yml +-> Quarto —> PDF, HTML, Slides +-> Python —> Quest, Terminal, | Magazine, API Docs +-> FastAPI -> Live API + Swagger +-> MCP -----> AI integration +-> Gen -----> llms.txtPipelineMakeView on GitHub